Abstract
A decision-based adaptive filter is proposed to remove impulse-noise: (1) A modified Laplacian operator accurately locates impulse-noise corrupted pixels. (2) Another image-region highly correlated with the to-be-restored image-region is identified through “Long-Range Correlation” with statistically designed search-ranges and match-criterion. (3) The center of the to-be-restored image-region is replaced using a proposed recovering approach. Simulation results demonstrate the proposed method’s superior impulse-noise removal capability vis-a-vis other recent approaches.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Abreu E., Lightstone M., Mitra S.K., Arakawa K. (1996). A new efficient approach for the removal of impulse noise from highly corrupted images. IEEE Transactions on Image Processing 5(6): 1012–1025
Ahmadi-Shokouh, J., Wong, K. T., & Ng, E. H. (2004). Laplacian-preprocessed impulse-noise detection with image denoising via difference-mean-filtering of long-range-correlated sub-images. In IEEE Asilomar Conference on Signals, Systems and Computers, pp. 1569–1572.
Arce G.R., McLoughin M.P. (1987). Theoretical analysis of MAX/Median filter. IEEE Transactions on Acoustics, Speech, Signal Processing 35(1): 60–69
Chen T., Ma K.-K., Chen L.-H. (1999). Tri-state median filter for image denoising. IEEE Transactions on Image Processing 8: 1834–1838
Chen, T., & Wu, H. (2000). Impulse noise removal by multi-state median filtering. In IEEE International Conference on Acoustics, Speech, Signal Processing, pp. 2183–2186.
Chen T., Wu H. (2001a). Adaptive impulse detection using center-weighted median filters. IEEE Signal Processing Letters 8(1): 1–3
Chen T., Wu H.R. (2001b). Application of partition-based median type filters for suppressing noise in images. IEEE Transactions on Image Processing 10(6): 829–836
Elsherif, M., Rashwan, M., & Elsayad, A. (2000). Matching criteria in fractal image compression. In IEEE Midwest Symposium on Circuits and Systems, pp. 8–11.
Eng H.-L., Ma K.-K. (2001). Noise adaptive soft-switching median filter. IEEE Transactions on Image Processing 10(2): 242–251
Gabbouj M., Coyle E.J., Neal J., Gallagher C. (1992). An overview of median and stack filtering. Journal on Circuits, Systems and Signal Processing 11(1): 7–45
Ko S.-J., Lee Y.-H. (1991). Center weighted median filters and their applications to image enhancement. IEEE Transactions on Circuits and Systems 38(9): 984–993
Leclercq, P., & Morris, J. (2003). Robustness to noise of stereo matching. IEEE International Conference on Image Analysis and Processing, pp. 606–611.
Mitra, S. K., & Yu, T. H. (1994). A new nonlinear algorithm for the removal of impulse noise from highly corrupted images. In IEEE International Symposium on Circuits and Systems), pp. 17–20.
Pok G., Liu J.-C., Nair A.S. (2003). Selective removal of impulse noise based on homogeneity level information . IEEE Transactions on Image Processing 12(1): 85–92
Sun T., Neuvo Y. (1994). Detail-preserving median based filters in image processing. Pattern Recognition Letters 15(4): 341–347
Wang Z., ZhangD. (1998). Restoration of impulse noise corrupted images using long-range correlation. IEEE Signal Processing Letters 5(1): 4–7
Wang Z., Zhang D. (1999). Progressive switching median filter for the removal of impulse noise from highly corrupted images. IEEE Transactions on Circuits and Systems–II: Analog and Digital Signal Processing 46(1): 78–80
Xu X., Miller E.L. (2002). Adaptive two-pass median filter to remove impulsive noise. IEEE International Conference on Image Processing 1: 22–25
Yang R., Yin L., Gabbouj M., Astola J., Neuvo Y. (1996). Weighted median filters: a tutorial. IEEE Transactions on Circuits and Systems 43(3): 157–192
Zabih, R., & Woodfill, J. (1993). Non-parametric local transforms for computing visual correspondence. In Lecture Notes in Computer Science, pp. 6–12.
Zhang S., Karim M.A. (2002). A new impulse detector for switching median filters. IEEE Signal Processing Letters 9(11): 360–363
Zhang, D., Shi, Z., Wang, H., Kouri, D. J., & Hoffman, D. K. (2000). Nonlinear filtering impulse noise removal from corrupted images. International Conference on Image Processing, pp. 285–287.
Zhang D., Wang Z. (2002). Image information restoration based on long-range correlation. IEEE Transactions on Circuits and Systems for Video Technology 12(5): 331–341
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Ahmadi-Shokouh, J., Keshavarz, H. Image restoration based on Laplacian preprocessed long-range correlation. Multidim Syst Sign Process 19, 231–245 (2008). https://doi.org/10.1007/s11045-007-0037-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11045-007-0037-9